检索结果-内蒙古大学图书馆

A multidisciplinary approach to prevent student anxiety: a Toolkit for educators

Procedia Computer Science 2025年 256卷 852-860页

作者： Alberto Freitas Bruno Costa Diogo Martinho Fatima Pais Ivone Duarte Constantino Martins Goreti Marreiros Rute Almeida MEDCIDS Faculty of Medicine University of Porto Porto 4200-450 Portugal CINTESIS@RISE University of Porto Porto 4200-450 Portugal Centro Hospitalar Universitário São João 4200-319 Porto GECAD – Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development Institute of Engineering – Polytechnic of Porto Porto 4249-015 Portugal & LASI – Intelligent Systems Associate Laboratory Guimarães 4800-058 Portugal Sucessos Criativos Lda São João da Madeira 3700-121 Portugal

The project WAI aims to tackle the growth of mental health disorders among the younger population, namely the most prevalent anxiety disorders. It intends to enhance educational strategies to help schools, teachers, and other professionals dealing with student anxiety. With that purpose, a suite of resources with a focus on mental health promotion in the school environment was organized by collecting existing tools and creating new elements for completeness. Information on mental health, AI, and AI use on mental health, classroom strategies, and best practices, structured for interdisciplinary application and use by both teachers and students, were considered. These resources were integrated into a Toolkit with a recommendation feature, which allows easy location and access to the most adequate tool for the specific need or educational challenge. To maximize accessibility, resources will be translated into several languages. The Toolkit will guide the implementation of a capacitation formative program for educators that will be implemented based on its resources. The development of the project involves participatory design with contributions from educators, mental health experts, and AI technologists to ensure a comprehensive approach. The Toolkit is intended to provide a systematic framework for educators to promote sustainable mental health promotion practices and, when appropriate, to use AI in ways that are ethically sound, while fostering digital responsibility.

关键词： Mental Health Promotion Anxiety Disorders Educational Strategies AI in Education Toolkit Teacher Capacitation

来源：评论

学校读者我要写书评

暂无评论

COph100: A comprehensive fundus image registration dataset from infants constituting the "RIDIRP" database

arXiv

引用

arXiv 2025年

作者： Hu, Yan Gong, Mingdao Qiu, Zhongxi Liu, Jiabao Shen, Hongli Yuan, Mingzhen Zhang, Xiaoqing Li, Heng Lu, Hai Liu, Jiang Research Institute of Trustworthy Autonomous Systems Department of Computer Science and Engineering Southern University of Science and Technology Shenzhen China Beijing Tongren Eye Center Beijing Tongren Hospital Capital Medical University Beijing Ophthalmology and Visual Sciences Key Laboratory Beijing China Center for High Performance Computing and Shenzhen Key Laboratory of Intelligent Bioinformatics Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen China

Retinal image registration is vital for diagnostic therapeutic applications within the field of ophthalmology. Existing public datasets, focusing on adult retinal pathologies with high-quality images, have limited number of image pairs and neglect clinical challenges. To address this gap, we introduce COph100, a novel and challenging dataset known as the Comprehensive Ophthalmology Retinal Image Registration dataset for infants with a wide range of image quality issues constituting the public "RIDIRP" database1. COph100 consists of 100 eyes, each with 2 to 9 examination sessions, amounting to a total of 491 image pairs carefully selected from the publicly available dataset. We manually labeled the corresponding ground truth image points and provided automatic vessel segmentation masks for each image. We have assessed COph100 in terms of image quality and registration outcomes using state-of-the-art algorithms. This resource enables a robust comparison of retinal registration methodologies and aids in the analysis of disease progression in infants, thereby deepening our understanding of pediatric ophthalmic conditions. Copyright © 2025, The Authors. All rights reserved.

关键词： Image registration

来源：评论

学校读者我要写书评

暂无评论

Uncertainty-aware Superpoint Graph Transformer for Weakly Supervised 3D Semantic Segmentation

引用

IEEE Transactions on Fuzzy systems 2025年

作者： Fan, Yan Wang, Yu Zhu, Pengfei Hui, Le Xie, Jin Hu, Qinghua Tianjin University College of Intelligence and Computing Tianjin300350 China Ministry of Education of the People's Republic of China Engineering Research Center of City Intelligence and Digital Governance China Haihe Laboratory of Itai Tianjin China Northwestern Polytechnical University School of Electronics and Information Shaanxi Key Laboratory of Information Acquisition and Processing China Nanjing University of Science and Technology Pca Lab Key Lab of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education China Nanjing University State Key Laboratory for Novel Software Technology Nanjing China

Weakly supervised 3D semantic segmentation has successfully mitigated the labor-intensive and time-consuming task of annotating 3D point clouds. However, reliably utilizing the minimal point-wise annotations for unlabeled data in complex and large-scale scenes is still challenging, such as only 20 points labeled in 2 million points. To tackle this challenge, we propose a new Uncertainty-aware Superpoint Graph Transformer (UaSGT) framework that utilizes minimal annotations for unlabeled data learning through reliable long-range supervision propagation from labeled superpoints to unlabeled superpoints. First, we propose a superpoint graph transformer to achieve long-range supervision propagation along the attention-based fuzzy subsets defined on superpoints. The attention-based fuzzy subset measures the membership of unlabeled superpoints to clusters centered on labeled superpoints. Second, we employ an uncertainty-aware membership rectification technique on the fuzzy subset to ensure reliable propagation among superpoints within the same category. This technique integrates an uncertainty prediction module to mask the influence of unreliable membership and a spatial prior refinement module to reduce uncertainty in intra-class membership degrees. Finally, experimental results on two large-scale benchmarks S3DIS and ScanNet-V2 demonstrate the superiority of our approach compared to the state-of-the-art with at least 90% annotation reduction, and our method also achieves comparable performance to fully supervised methods with less than 0.1% labeled points. Our code is available at https://***/fanyan0411/UaSGT. © 2025 IEEE.

关键词： Semantic Segmentation

来源：评论

学校读者我要写书评

暂无评论

MLFuse: Multi-Scenario Feature Joint Learning for Multi-Modality Image Fusion

引用

IEEE Transactions on Multimedia 2025年

作者： Lei, Jia Li, Jiawei Liu, Jinyuan Wang, Bin Zhou, Shihua Zhang, Qiang Wei, Xiaopeng Kasabov, Nikola K. Dalian University Key Laboratory of Advanced Design and Intelligent Computing Ministry of Education School of Software Engineering Dalian116622 China University of Science and Technology Beijing School of Computer and Communication Engineering Beijing100083 China Dalian University of Technology School of Mechanical Engineering Dalian116024 China Dalian University of Technology School of Computer Science and Technology Dalian116024 China Auckland University of Technology Knowledge Engineering and Discovery Research Institute Auckland1010 New Zealand Ulster University Intelligent Systems Research Center LondonderryBT52 1SA United Kingdom

Multi-modality image fusion (MMIF) entails synthesizing images with detailed textures and prominent objects. Existing methods tend to use general feature extraction to handle different fusion tasks. However, these methods have difficulty breaking fusion barriers across various modalities owing to the lack of targeted learning routes. In this work, we propose a multi-scenario feature joint learning architecture, MLFuse, that employs the commonalities of multi-modality images to deconstruct the fusion progress. Specifically, we construct a cross-modal knowledge reinforcing network that adopts a multipath calibration strategy to promote information communication between different images. In addition, two professional networks are developed to maintain the salient and textural information of fusion results. The spatial-spectral domain optimizing network can learn the vital relationship of the source image context with the help of spatial attention and spectral attention. The edge-guided learning network utilizes the convolution operations of various receptive fields to capture image texture information. The desired fusion results are obtained by aggregating the outputs from the three networks. Extensive experiments demonstrate the superiority of MLFuse for infrared-visible image fusion and medical image fusion. The excellent results of downstream tasks (i.e., object detection and semantic segmentation) further verify the high-quality fusion performance of our method. The code is publicly available at https://***/jialei-sc/MLFuse. © 1999-2012 IEEE.

关键词： Semantic Segmentation

来源：评论

学校读者我要写书评

暂无评论

Physical mechanisms and integration design of memristors

引用

Materials Today Nano 2025年 30卷

作者： Wang, Mengna Wang, Kun Sun, Bai Zhou, Guangdong Cao, Zelin Gao, Kaikai Ren, Fenggang Chen, Xiaoliang Li, Xiangming Shao, Jinyou Frontier Institute of Science and Technology and Interdisciplinary Research Center of Frontier Science and Technology Xi'an Jiaotong University Shaanxi Xi'an710049 China Micro-and Nano-technology Research Center State Key Laboratory for Manufacturing Systems Engineering Xi'an Jiaotong University Shaanxi Xi'an710049 China College of Artificial Intelligence Brain-inspired Computing & Intelligent Control of Chongqing Key Lab Southwest University Chongqing400715 China National Local Joint Engineering Research Center for Precision Surgery & Regenerative Medicine The First Affiliated Hospital of Xi'an Jiaotong University Shaanxi Xi'an710049 China

Memristors with threshold transition behavior and rich dynamics are ideal candidates for simulating biological pulse neurons and constructing efficient neuromorphic systems. Based on changes in material structure, charge distribution, molecular polarization and other physical states, new integrated memory-computing devices have been constructed and applied to the sensor-memory-computing integrated systems. In this review, we first discuss the classification of memristive materials from the perspective of device structure design and focus on introducing the working mechanisms of valence variation, polarization, and carrier transfer covered internally. Further, the latest progress of memristors with multi-physical mechanisms is comprehensively summarized, including the formation/fracture of conductive filaments, carrier capture/release, polarization/depolarization. In particular, it is discussed in detail the principles and applications of memristors with different working mechanisms for constructing neuromorphic systems. Finally, the potential challenges and opportunities that may exist in the development of memristors in the coming years are discussed in depth. © 2025 Elsevier Ltd

关键词： Molecular structure

来源：评论

学校读者我要写书评

暂无评论

TLSTMF-YOLO: Transfer Learning and Feature Fusion Network for Earthquake-Induced Landslide Detection in Remote Sensing Images

引用

IEEE Transactions on Geoscience and Remote Sensing 2025年 63卷

作者： Meng, Shaoqiang Shi, Zhenming Pirasteh, Saied Liberata Ullo, Silvia Peng, Ming Zhou, Changshi Nunes Goncalves, Wesley Zhang, Limin Tongji University Shanghai Research Institute for Intelligent Autonomous Systems Key Laboratory of Geotechnical and Underground Engineering Ministry of Education Shanghai200092 China Institute of Artificial Intelligence Shaoxing University Zhejiang Shaoxing312000 China Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Department of Geotechnics and Geomatics Tamil Nadu Chennai600 077 India University of Sannio Department of Engineering Benevento82100 Italy Tongji University Shanghai Research Institute for Intelligent Autonomous Systems Shanghai200092 China Federal University of Mato Grosso do Sul Faculty of Computing Campo Grande79070-900 Brazil The Hong Kong University of Science and Technology Department of Civil and Environmental Engineering Hong Kong Hong Kong

Detecting earthquake-induced landslides in remote sensing images is challenging due to the varying sizes of landslides, uneven distribution, and the prevalence of small targets. This study proposes a novel approach, the TLSTMF-YOLO model, which combines a C3-Swin-Transformer and multiscale feature fusion techniques to enhance detection accuracy and efficiency. Key innovations include the use of a convolutional block attention module (CBAM) to improve feature representation, and a bidirectional feature pyramid network (BiFPN) for optimized cross-scale feature fusion. To address data scarcity, a transfer learning strategy is applied, supported by an AdamW optimizer and cosine learning rate strategy for faster convergence. Evaluations on the Jiuzhaigou and Luding landslide datasets demonstrate the model's effectiveness, achieving precision, recall, and mean average precision (mAP)@0.5 of 95.7%, 89.9%, and 90.5% on the Jiuzhaigou dataset, and 96.0%, 90.9%, and 94.5% on the Luding dataset, respectively. In addition, the model processes frames efficiently, with times of 6.61 and 12.2 ms on the two datasets. These results confirm the model's capability for accurate and efficient landslide detection, highlighting its potential for real-world applications. © 1980-2012 IEEE.

关键词： Earthquakes

来源：评论

学校读者我要写书评

暂无评论

Dot-base62x: A compact textual representation of IPv6 address for clouds

Dot-base62x: A compact textual representation of IPv6 addres...

引用

4th IEEE/ACM International Conference on Cloud and Utility computing, UCC 2011

作者： Liu, Zhenxing Liu, Lu Hardy, James Anjum, Ashiq Hill, Richard Antonopoulos, Nick Distributed and Intelligent Systems Research Group School of Computing and Mathematics University of Derby Derbyshire United Kingdom

ISBN: (纸本)9780769545929

Cloud computing has dramatically reshaped the whole IT industry in recent years. With the transition from IPv4 to IPv6, services running in Cloud computing will face problems associated with IPv6 addressing: the notation is too long (39 bytes), there are too many variants of a single IPv6 address and a potential conflict may exist with conventional http-URL notation caused by the use of the colon (:). This paper proposes a new scheme to represent an IPv6 address with a shorter, compact notation (27 bytes), without variants or conflicts with http-URL. The proposal is known as dot-base62x as it is an IPv6 address with Base62x and uses the well-known period (or dot) as a group delimiter instead of the colon. The relative merits and demerits of other works that predate this paper have been reviewed and critically evaluated. Cloud computing, as a continuously emerging mainstream of network-based applications, is likely to be a forerunner in the use of IPv6 as the base protocol. As a result, Cloud computing will benefit most from the new, compact and user-friendly textual representation of IPv6 address proposed by this paper. © 2011 IEEE.

关键词： Cloud computing

来源：评论

学校读者我要写书评

暂无评论

Optimizing ranking method using social annotations based on language model

引用

Artificial Intelligence Review 2014年第1期41卷 81-96页

作者： Wen, Kunmei Li, Ruixuan Xia, Jing Gu, Xiwu Intelligent and Distributed Computing laboratory of theHuaZhong University of Science and Technology WuHan China 709th Research Institute China Shipbuilding Industry Corporation WuHan China

Recent research has shown that more and more web users utilize social annotations to manage and organize their interested resources. Therefore, with the growing popularity of social annotations, it is becoming more and more important to utilize such social annotations to achieve effective web search. However, using a statistical model, there are no previous studies that examine the relationships between queries and social annotations. Motivated by this observation, we use social annotations to re-rank search *** intend to optimize retrieval ranking method by using the ranking strategy of integrating the queryannotation similarity into query-document similarity. Specifically, we calculate the queryannotation similarity by using a statistical language model, which in a shorter form we call simply a language model. Then the initial search results are re-ranked according to the computational weighted score of the query-document similarity score and the query-annotation similarity score. Experimental results showthat the proposed method can improve theNDCG score by 8.13%. We further conduct an empirical evaluation of the method by using a query set including about 300 popular social annotations and constructed phrases. More generally, the optimized results with social annotations based on a language model can be of significant benefit to web search.©Springer Science+Business Media B.V. 2011.

关键词： Query processing

来源：评论

学校读者我要写书评

暂无评论

Design and implementation of communication system of the Dawning 6000 supercomputer

引用

中国计算机科学前沿 2010年第4期4卷 466-474页

作者： Qiang LI Bo LI Zhigang HUO Ninghui SUN National Research Center for Intelligent Computing Systems Beijing 100190China Key Laboratory of Computer System and Architecture Chinese Academy of SciencesBeijing 100190China Graduate University of Chinese Academy of Sciences Beijing 100190China National Research Center for Intelligent Computing Systems Beijing 100190China Key Laboratory of Computer System and Architecture Chinese Academy of SciencesBeijing 100190China

An increasing number of supercomputers adopt a heterogeneous architecture, consisting of both general purpose CPUs and specialized accelerators. Such design is beneficial for scalability and power, but on the other hand, heterogeneity brings new challenges in communication systems to connect heterogeneous components and provide support for programming. The communication system of the Dawning 6000 connectstwo kinds of heterogeneous processors, Loongson and AMD, and adopts a three layer architecture with an intranode layer between heterogeneous components. To efficiently connect heterogeneous components, the system forms a global address space and provides a mechanism for message transmission via an in-node global store; and employing Infiniband network, provides an OS-bypassing virtualization method to share an Infiniband card between nodes. To facilitate programming on heterogeneous processors, it supports unified parallel C (UPC), with a modified complier based on global address space. Also, aspecial collective network is implemented for collective operations. Results obtained from a prototype system prove these features to be both feasible and efficient.

关键词： hyper parallel processing (HPP) global address space (GAS) virtualization Dawning 6000 unified parallel C (UPC)

来源：评论

学校读者我要写书评

暂无评论

PEAK: Python-based framework for heterogeneous agent communities

引用

SoftwareX 2025年 30卷

作者： Bruno Ribeiro David Dias Luis Gomes Zita Vale GECAD - Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development LASI - Intelligent Systems Associate Laboratory Polytechnic of Porto Rua Dr. António Bernardino de Almeida 431 4249-015 Porto Portugal

Python-based framework for heterogeneous agent communities (PEAK) is a multi-agent system development framework aiming at facilitating the interoperability of agents from different environments and their interactions and exchange of knowledge. With PEAK, it is possible to develop from simple agent systems to more complex ones where hundreds of agents, or even thousands, interact with each other to fulfil their purpose. PEAK has contributed to the validation of solutions, published articles and advanced training sessions in different research fields such as energy systems and federated learning. The idea is that, in the future, it will continue to contribute to the enrichment of scientific knowledge in more fields of application.

关键词： distributed artificial intelligence Multi-agent systems Simulation Real-time operation

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：